Literature DB >> 27136662

Cortical thickness and VBM in young women at risk for familial depression and their depressed mothers with positive family history.

Ozgun Ozalay1, Burcu Aksoy2, Sebnem Tunay3, Fatma Simsek4, Swati Chandhoke5, Omer Kitis6, Cagdas Eker7, Ali Saffet Gonul8.   

Abstract

It has been demonstrated that compared to low-risk subjects, high-risk subjects for depression have structural and functional alterations in their brain scans even before the disease onset. However, it is not known if these alterations are related to vulnerability to depression or epiphenomena. One way to resolve this ambiguity is to detect the structural alterations in the high-risk subjects and determine if the same alterations are present in the probands. In this study, we recruited 24 women with the diagnosis of Major Depressive Disorder (MDD) with recurrent episodes and their healthy daughters (the high-risk for familial depression group; HRFD). We compared structural brain scans of the patients and HRFG group with those of 24 age-matched healthy mothers and their healthy daughters at similar ages to the HRFD group; respectively. Both cortical gray matter (GM) volume and thickness analyses revealed that HRFD daughters and their MDD mothers had similar GM differences in two regions: the right temporoparietal region and the dorsomedial prefrontal cortex. These results suggested that the observed alterations may be related to trait clinical and neurophysiological characteristics of MDD and may present before the onset of illness.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cortical thickness; High-risk for depression; Major Depressive Disorder; Prefrontal cortex; Temporoparietal area; Voxel-based morphometry

Mesh:

Year:  2016        PMID: 27136662     DOI: 10.1016/j.pscychresns.2016.04.004

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  12 in total

1.  Brain areas associated with resilience to depression in high-risk young women.

Authors:  Birce Begum Burhanoglu; Gulsah Dinçer; Alpaslan Yilmaz; Ozgun Ozalay; Ozgul Uslu; Esmin Unaran; Omer Kitis; Ali Saffet Gonul
Journal:  Brain Struct Funct       Date:  2021-01-17       Impact factor: 3.270

2.  Brain Volume Abnormalities in Youth at High Risk for Depression: Adolescent Brain and Cognitive Development Study.

Authors:  David Pagliaccio; Kira L Alqueza; Rachel Marsh; Randy P Auerbach
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2019-10-18       Impact factor: 8.829

3.  Cortical thickness is not associated with current depression in a clinical treatment study.

Authors:  Greg Perlman; Elizabeth Bartlett; Christine DeLorenzo; Myrna Weissman; Patrick McGrath; Todd Ogden; Tony Jin; Phillip Adams; Madhukar Trivedi; Benji Kurian; Maria Oquendo; Melvin McInnis; Sarah Weyandt; Maurizio Fava; Crystal Cooper; Ashley Malchow; Ramin Parsey
Journal:  Hum Brain Mapp       Date:  2017-06-08       Impact factor: 5.038

4.  Age-dependent effects of schizophrenia genetic risk on cortical thickness and cortical surface area: Evaluating evidence for neurodevelopmental and neurodegenerative models of schizophrenia.

Authors:  Susan S Kuo; David R Roalf; Konasale M Prasad; Christie W Musket; Petra E Rupert; Joel Wood; Ruben C Gur; Laura Almasy; Raquel E Gur; Vishwajit L Nimgaonkar; Michael F Pogue-Geile
Journal:  J Psychopathol Clin Sci       Date:  2022-06-23

Review 5.  Associations Between Parental Mood and Anxiety Psychopathology and Offspring Brain Structure: A Scoping Review.

Authors:  Jennifer V A Kemp; Emily Bernier; Catherine Lebel; Daniel C Kopala-Sibley
Journal:  Clin Child Fam Psychol Rev       Date:  2022-02-24

6.  Brain structural correlates of familial risk for mental illness: a meta-analysis of voxel-based morphometry studies in relatives of patients with psychotic or mood disorders.

Authors:  Wenjing Zhang; John A Sweeney; Li Yao; Siyi Li; Jiaxin Zeng; Mengyuan Xu; Maxwell J Tallman; Qiyong Gong; Melissa P DelBello; Su Lui; Fabiano G Nery
Journal:  Neuropsychopharmacology       Date:  2020-04-30       Impact factor: 7.853

7.  Amygdala Atrophy and Its Functional Disconnection with the Cortico-Striatal-Pallidal-Thalamic Circuit in Major Depressive Disorder in Females.

Authors:  Jie Yang; Yingying Yin; Connie Svob; Jun Long; Xiaofu He; Yuqun Zhang; Zhi Xu; Lei Li; Jie Liu; Jian Dong; Zuping Zhang; Zhishun Wang; Yonggui Yuan
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

8.  Risk for affective disorders is associated with greater prefrontal gray matter volumes: A prospective longitudinal study.

Authors:  Julian Macoveanu; William Baaré; Kristoffer H Madsen; Lars Vedel Kessing; Hartwig Roman Siebner; Maj Vinberg
Journal:  Neuroimage Clin       Date:  2017-12-07       Impact factor: 4.881

9.  Influence of FKBP5 polymorphism and DNA methylation on structural changes of the brain in major depressive disorder.

Authors:  Kyu-Man Han; Eunsoo Won; Youngbo Sim; June Kang; Changsu Han; Yong-Ku Kim; Seung-Hyun Kim; Sook-Haeng Joe; Min-Soo Lee; Woo-Suk Tae; Byung-Joo Ham
Journal:  Sci Rep       Date:  2017-02-15       Impact factor: 4.379

10.  Comparing CAT12 and VBM8 for Detecting Brain Morphological Abnormalities in Temporal Lobe Epilepsy.

Authors:  Farnaz Farokhian; Iman Beheshti; Daichi Sone; Hiroshi Matsuda
Journal:  Front Neurol       Date:  2017-08-24       Impact factor: 4.003

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